2023-01-30 20:36:47 +00:00
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---
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author: Akbar Rahman
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date: \today
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title: MMME2046 // Control
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tags: [ mmme2046, uon, uni, control ]
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2023-02-06 17:11:38 +00:00
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uuid: 73e04dd2-ee4c-4952-a9b7-7df3930d2d2d
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2023-02-18 20:27:04 +00:00
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lecture_slides: [ ./lecture_slides/Control 1 2023.pdf, ./lecture_slides/Control 2 2022.pdf, ./lecture_slides/Control Lecture 3 2022.pptx ]
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exercise_sheets: [ ./exercise_sheets/control.pdf, ./exercise_sheets/control_sols_odd.pdf ]
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2023-01-30 20:36:47 +00:00
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---
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2023-02-18 20:27:04 +00:00
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# Errata
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2023-02-06 17:11:38 +00:00
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2023-02-18 20:27:04 +00:00
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## Exercise Sheets
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### ES1, Q5 (p3)
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Output column on row 3c should be $h_2$ not $h_3$.
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## Lecture Slides 2 p26
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2023-02-06 17:11:38 +00:00
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First line should be
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$$C(s) = \frac{5}{s(s+5)} = \frac 1s \frac{1}{1+0.2s}$$
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2023-01-30 20:36:47 +00:00
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# System and Block Diagrams
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# Laplace Transform
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$$F(s) = \mathscr L {F(t)} = \int^\infty_0 f(t)e^{-st} \mathrm{d}t$$
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where $s = \alpha + j\omega$
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The function $F(s)$ is often much easier to manipulate than periodic function $f(t)$.
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## Final Value Theorem
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As $f(t)$ tends to infinity, $sF(s)$ tends to 0.
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## Example
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$$\dot x_o = ax_o = ax_i$$
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where $x_o$ is the output and $x_i$ is the input
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Take the Laplace transform:
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$$sX_o(s) + aX_o(s) = aX_i(s)$$
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Rearrange to get equation for the transfer function:
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$$G(s) = \frac{X_o}{X_i} = \frac{a}{s+a}$$
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$$ X_o = GX_i $$
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If $X_i$ is a unit step, then:
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$$X_i = \frac1s$$
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and
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$$X_o = \frac{a}{s(s+a)}$$
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Taking the inverse gives:
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$$X_0 = 1 - e^{-at}$$
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2023-02-06 17:11:38 +00:00
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# Non-Linearity
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Sometimes, components of a system will not reduce to a simple linear relationship.
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When this is the case superposition and Laplace transforms do not apply/are not valid.
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Reasons for this include:
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- saturation
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![](./images/vimscrot-2023-02-06T16:10:06,638264779+00:00.png)
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- backlash
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![](./images/vimscrot-2023-02-06T16:10:23,750576923+00:00.png)
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- clearance
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![](./images/vimscrot-2023-02-06T16:10:39,624151288+00:00.png)
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- coulomb friction
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![](./images/vimscrot-2023-02-06T16:10:55,163385436+00:00.png)
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- material non-linearity
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![](./images/vimscrot-2023-02-06T16:11:17,999306580+00:00.png)
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- flow through an orifice (choked flow)
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![](./images/vimscrot-2023-02-06T16:11:34,160399051+00:00.png)
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## Linearisation
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System behaviour is approximated to a linear relationship near the "nominal" operating point:
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![](./images/vimscrot-2023-02-06T16:13:20,353784072+00:00.png)
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